- Validate financial transactions, monitor fraud patterns, and maintain data integrity.
- Identify data sources, data flows, and data dependencies to make informed decisions about data management.
- Partner with the business to identify critical revenue data elements for metadata and lineage perspectives for consumption by Data Catalog and Data Quality tracks.
- Assist data consumers in interpreting data correctly, providing context, explaining data nuances, and addressing queries to foster data literacy.
- Define additional standard data validation rules and data validation rules for the data quality engine.
- Perform data quality analysis and validation for sources in scope.
- Incentivize collaboration between revenue management and data teams.
- Create data quality dimension guidelines as a basis for the data quality engine.
- Document data quality issues and collaborate with teams to determine remediation paths to solve them.
- Collaborate with different teams and departments within the organization, acting as a bridge between business users, data analysts, and IT teams to ensure effective communication and understanding of data requirements.
- Utilize strong data analytics skills for data profiling to train the model.
- Validate financial transactions, monitor fraud patterns, and maintain data integrity.
- Identify data sources, data flows, and data dependencies to make informed decisions about data management.
- Partner with the business to identify critical revenue data elements for metadata and lineage perspectives for consumption by Data Catalog and Data Quality tracks.
- Assist data consumers in interpreting data correctly, providing context, explaining data nuances, and addressing queries to foster data literacy.
- Define additional standard data validation rules and data validation rules for the data quality engine.
- Perform data quality analysis and validation for sources in scope.
- Incentivize collaboration between revenue management and data teams.
- Create data quality dimension guidelines as a basis for the data quality engine.
- Document data quality issues and collaborate with teams to determine remediation paths to solve them.
- Collaborate with different teams and departments within the organization, acting as a bridge between business users, data analysts, and IT teams to ensure effective communication and understanding of data requirements.
- Utilize strong data analytics skills for data profiling to train the model.
- English C1.
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Out array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certification in the latest technologies.
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Revenue Data Management Specialist - Buenos Aires, Argentina - Capgemini
Descripción
Role title: Revenue Data Management Specialist
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unluck the value of technology and build a more sustainable, more inclusive world.
RESPONSIBILITIES
This service encompasses the following activities:
REQUIRED SKILLS
WHAT YOU'LL LOVE ABOUT WORKING HERE
THIS IS WHAT YOU NEED TO KNOW ABOUT OUR JOB OFFER
Type of contract
Modality
Shift work
Schedule Range
Work on holidays
Paid holidays
Long-term contract
Remote
No
8:00 AM to 6:00 PM (Monday to Friday), 5 days per week, 9 hours per day.
Yes (Tentative)
Yes
ABOUT CAPGEMINI
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
